Short Trade on NEO 26 Aug 2025 at 11:55:22

Take profit at 7.0423 (1.04 %) and Stop Loss at 7.1651 (0.69 %)

Short Trade on NEO

The 26 Aug 2025 at 11:55:22

With 162.8184 NEO at 7.116$ per unit.

Position size of 1158.6157 $

Take profit at 7.0423 (1.04 %) and Stop Loss at 7.1651 (0.69 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 4.48
Prediction Score: 1.8308
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.94
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.665974

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.03275633274
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 7.04056
  4. ema21 : 7.12497
  5. ema50 : 7.27124
  6. ema100 : 7.21699
  7. price_ema9_diff : 0.0107147
  8. ema9_ema21_diff : -0.0118468
  9. ema21_ema50_diff : -0.0201174
  10. price_ema100_diff : -0.0139934
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.467705
  14. adx : 0.24652
  15. kc_percentage : 0.500252
  16. kc_width_percentage : 0.0780614
  17. volume_ema_diff : -0.672042
  18. volume_ema1 : 258230.08029852
  19. volume_ema2 : 787389.10971275
  20. ¸
  21. 15m
  22. ema9 : 7.03699
  23. ema21 : 7.02285
  24. ema50 : 7.03665
  25. ema100 : 7.12679
  26. price_ema9_diff : 0.0112267
  27. ema9_ema21_diff : 0.00201393
  28. ema21_ema50_diff : -0.00196084
  29. price_ema100_diff : -0.00151523
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.537229
  33. adx : 0.248839
  34. kc_percentage : 0.899403
  35. kc_width_percentage : 0.0324758
  36. volume_ema_diff : -0.626382
  37. volume_ema1 : 33982.584121795
  38. volume_ema2 : 90955.476862868
  39. ¸
  40. 5m
  41. ema9 : 7.06858
  42. ema21 : 7.04856
  43. ema50 : 7.0289
  44. ema100 : 7.01195
  45. price_ema9_diff : 0.00670754
  46. ema9_ema21_diff : 0.00284045
  47. ema21_ema50_diff : 0.00279782
  48. price_ema100_diff : 0.0148387
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.641215
  52. adx : 0.17487
  53. kc_percentage : 1.02447
  54. kc_width_percentage : 0.0177737
  55. volume_ema_diff : -0.0915736
  56. volume_ema1 : 19622.482002742
  57. volume_ema2 : 21600.519490648
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    110056
  62. 5m_price_ema100_diff:
    -0.00297809
  63. 5m_price:
    109728
  64. 5m_correlation_with_coin:
    0.665974
  65. btc_indicators
  66. 15m_ema100:
    110389
  67. 15m_price_ema100_diff:
    -0.0075489
  68. 15m_price:
    109555
  69. btc_indicators
  70. 1H_ema100:
    112266
  71. 1H_price_ema100_diff:
    -0.0226043
  72. 1H_price:
    109728
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Aug 2025
11:55:22
26 Aug 2025
12:10:00
14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.116 7.1651 7.0423 1.5 2.768
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 7.116
  • Stop Loss: 7.1651
  • Take Profit: 7.0423

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.1651 - 7.116 = 0.0491

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.116 - 7.0423 = 0.0737

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0737 / 0.0491 = 1.501

📌 Position Size

Amount Margin Quantity Leverage
1158.6157 100 162.8184 11.59
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0491

Taille de position = 8 / 0.0491 = 162.93

Taille de position USD = 162.93 x 7.116 = 1159.41

Donc, tu peux acheter 162.93 avec un stoploss a 7.1651

Avec un position size USD de 1159.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 162.93 x 0.0491 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 162.93 x 0.0737 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 162.93
  • Taille de position USD 1159.41
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.501

📌 Peformances

TP % Target TP $ Target
1.04 % 12 $
SL % Target SL $ Target
0.69 % 7.99 $
PNL PNL %
12 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3373 % 48.88 % 2

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 7.0178
            [stop_loss] => 7.1651
            [rr_ratio] => 2
            [closed_at] => 2025-08-26 12:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.99325
            [stop_loss] => 7.1651
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 6.9687
            [stop_loss] => 7.1651
            [rr_ratio] => 3
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 7.1651
            [rr_ratio] => 4
            [closed_at] => 2025-08-26 16:00:00
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    [4.5] => Array
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            [take_profit] => 6.89505
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            [rr_ratio] => 4.5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 6.8705
            [stop_loss] => 7.1651
            [rr_ratio] => 5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 6.84595
            [stop_loss] => 7.1651
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 6.8214
            [stop_loss] => 7.1651
            [rr_ratio] => 6
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
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    [7] => Array
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            [stop_loss] => 7.1651
            [rr_ratio] => 7
            [closed_at] => 2025-08-26 16:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.106
            [max_drawdown] => 0.024
            [rr_ratio] => 4.42
            [high] => 7.14000000
            [low] => 7.01000000
            [mfe_pct] => 1.49
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 4.42
            [candles_analyzed] => 24
            [start_at] => 2025-08-26T11:55:22-04:00
            [end_at] => 2025-08-26T13:55:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.106
            [max_drawdown] => 0.067
            [rr_ratio] => 1.58
            [high] => 7.18300000
            [low] => 7.01000000
            [mfe_pct] => 1.49
            [mae_pct] => 0.94
            [mfe_mae_ratio] => 1.58
            [candles_analyzed] => 84
            [start_at] => 2025-08-26T11:55:22-04:00
            [end_at] => 2025-08-26T18:55:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.16300000
            [high_after] => 7.18300000
            [low_before] => 6.93200000
            [low_after] => 7.01000000
            [is_new_high] => 
            [is_new_low] => 
        )

)